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13 Dec 2019
The standard error of the regression: is equal to the sum of squared errors minus the total sum of squares. measures the explanatory power of the regression equation and lies between 0 and 1. measures the unexplained variation in the dependent variable. measures the explained variation in the dependent variable. is equal to the slope of the regression equation.
The standard error of the regression: is equal to the sum of squared errors minus the total sum of squares. measures the explanatory power of the regression equation and lies between 0 and 1. measures the unexplained variation in the dependent variable. measures the explained variation in the dependent variable. is equal to the slope of the regression equation.
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